Leveraging Knowledge Graphs for Complex Data Management in Modern Databases
سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 211
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شناسه ملی سند علمی:
CELCONF04_051
تاریخ نمایه سازی: 21 اسفند 1403
چکیده مقاله:
In today’s data-driven world, the complexity of managing and utilizing vast amounts of information has become a significant challenge for organizations. Traditional databases often struggle to efficiently handle the interconnected and heterogeneous nature of complex data. Knowledge graphs (KGs) offer a powerful solution to this problem by enabling enhanced data integration, seamless querying, and insightful analysis. This article explores the concept of KGs, highlighting their advantages over conventional data management systems. It delves into the technical and operational benefits they provide, such as improved data discoverability and flexibility. Furthermore, the paper discusses the implementation process, popular tools available in the market, and real-world applications demonstrating their effectiveness. Finally, it addresses the potential barriers to adoption and offers practical strategies to overcome these challenges. The future of data management may well be shaped by the continued evolution and integration of KGs in modern database systems.
کلیدواژه ها:
نویسندگان
Mohammad Malekinia
Faculty member, Islamic Azad University of Qazvin, Department of Information Technology Management, Qazvin
Mostafa Hatami
PhD student in Information Technology Management – Intelligent Business, Islamic Azad University, Qazvin, Iran
Ali Sarabadani
PhD Candidate in Information Technology Engineering, University of Qom, Qom, Iran
Eisa Tabasi
PhD student in Information Technology Management – Intelligent Business, Islamic Azad University, Qazvin, Iran